首页 | 本学科首页   官方微博 | 高级检索  
     

基于k-means聚类的点云精简方法
引用本文:贺一波,陈冉丽,吴侃,段志鑫.基于k-means聚类的点云精简方法[J].激光与光电子学进展,2019,56(9):88-91.
作者姓名:贺一波  陈冉丽  吴侃  段志鑫
作者单位:大同煤炭职业技术学院建筑工程系,山西大同,037003;石家庄铁路职业技术学院测绘工程系,河北石家庄,050041;中国矿业大学环境与测绘学院,江苏徐州,221116
摘    要:

关 键 词:图像处理  点云精简  K均值聚类  曲面拟合  均方根曲率  压缩率

Point Cloud Simplification Method Based on k-Means Clustering
He Yibo,Chen Ranli,Wu Kan,Duan Zhixin.Point Cloud Simplification Method Based on k-Means Clustering[J].Laser & Optoelectronics Progress,2019,56(9):88-91.
Authors:He Yibo  Chen Ranli  Wu Kan  Duan Zhixin
Affiliation:(Department of Architecture and Civil Engineering, Datong Vocational a nd Technical College of Coal,Datong, Shanxi 037003, China;Department of Surveying Engineering, Sh ijiazh uang Institute of Rail way Technology, Sh ijiazhuang,Hebei 050041, China;School of Environment Science a nd Spatial Informatics, Ch ina U)iiversity of Mining and Technology,Xuzhou, Jiangsu 221116, China)
Abstract:He Yibo;Chen Ranli;Wu Kan;Duan Zhixin(Department of Architecture and Civil Engineering, Datong Vocational a nd Technical College of Coal,Datong, Shanxi 037003, China;Department of Surveying Engineering, Sh ijiazh uang Institute of Rail way Technology, Sh ijiazhuang,Hebei 050041, China;School of Environment Science a nd Spatial Informatics, Ch ina U)iiversity of Mining and Technology,Xuzhou, Jiangsu 221116, China)
Keywords:image processing  point cloud simplification  k-means clustering  surface fitting  root mean square curvature  compression rate
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号